The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
The Clinical Profile and Pathophysiology of Atrial Fibrillation: Relationships Among Clinical Features, Epidemiology, and Mechanisms
Open accessAbstract
Atrial fibrillation (AF) is the most common arrhythmia (estimated lifetime risk, 22%–26%). The aim of this article is to review the clinical epidemiological features of AF and to relate them to underlying mechanisms. Long-established risk factors for AF include aging, male sex, hypertension, valve disease, left ventricular dysfunction, obesity, and alcohol consumption. Emerging risk factors include prehypertension, increased pulse pressure, obstructive sleep apnea, high-level physical training, diastolic dysfunction, predisposing gene variants, hypertrophic cardiomyopathy, and congenital heart disease. Potential risk factors are coronary artery disease, kidney disease, systemic inflammation, pericardial fat, and tobacco use. AF has substantial population health consequences, including impaired quality of life, increased hospitalization rates, stroke occurrence, and increased medical costs. The pathophysiology of AF centers around 4 general types of disturbances that promote ectopic firing and reentrant mechanisms, and include the following: (1) ion channel dysfunction, (2) Ca 2+ -handling abnormalities, (3) structural remodeling, and (4) autonomic neural dysregulation. Aging, hypertension, valve disease, heart failure, myocardial infarction, obesity, smoking, diabetes mellitus, thyroid dysfunction, and endurance exercise training all cause structural remodeling. Heart failure and prior atrial infarction also cause Ca 2+ -handling abnormalities that lead to focal ectopic firing via delayed afterdepolarizations/triggered activity. Neural dysregulation is central to atrial arrhythmogenesis associated with endurance exercise training and occlusive coronary artery disease. Monogenic causes of AF typically promote the arrhythmia via ion channel dysfunction, but the mechanisms of the more common polygenic risk factors are still poorly understood and under intense investigation. Better recognition of the clinical epidemiology of AF, as well as an improved appreciation of the underlying mechanisms, is needed to develop improved methods for AF prevention and management.
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Cites
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A comparison of rate control and rhythm control in patients with atrial fibrillation
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Subclinical atrial fibrillation and the risk of stroke
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“Diabetes mellitus has been associated with a 1.4- to 1.6-fold increased risk of AF.69–71 Although a shared risk factor profile Table 1.”
BackgroundInfluentialPrevalence, incidence and lifetime risk of atrial fibrillation: the Rotterdam study
Heeringa, J., van der Kuip, D. A. M., Hofman, A., Kors, J. A., van Herpen, G., Stricker, B. H. C., Stijnen, T., Lip, G. Y. H., & Witteman, J. C. M. (2006) · European Heart Journal · doi:10.1093/eurheartj/ehi825 · Cited by 1,939
Probability of stroke: a risk profile from the Framingham Study.
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“5% for patients aged 50–59 years to >23% for those >80 years).(127,128) AF-associated strokes are often recurrent and relatively more severe, causing significantly greater resource use, long-term disability, and mortality compared with non-AF stroke.”
Background
Cited by
2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS
Kirchhof, P., Benussi, S., Kotecha, D., Ahlsson, A., Atar, D., Casadei, B., Castella, M., Diener, H.-C., Heidbuchel, H., Hendriks, J., et al. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw210 · Cited by 6,418
Self-citationCalkins, H., Hindricks, G., Cappato, R., Kim, Y.-H., Saad, E. B., Aguinaga, L., Akar, J. G., Badhwar, V., Brugada, J., Camm, J., et al. (2017) · Heart Rhythm · doi:10.1016/j.hrthm.2017.05.012 · Cited by 2,755
Self-citation2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS
Kirchhof, P., Benussi, S., Kotecha, D., Ahlsson, A., Atar, D., Casadei, B., Castella, M., Diener, H.-C., Heidbuchel, H., Hendriks, J., et al. (2016) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezw313 · Cited by 1,403
Self-citationNanoparticles in Drug Delivery: From History to Therapeutic Applications
Afzal, O., Altamimi, A. S. A., Nadeem, M. S., Alzarea, S. I., Almalki, W. H., Tariq, A., Mubeen, B., Murtaza, B. N., Iftikhar, S., Riaz, N., et al. (2022) · Nanomaterials · doi:10.3390/nano12244494 · Cited by 468
Progression of Atrial Fibrillation after Cryoablation or Drug Therapy
Andrade, J. G., Deyell, M. W., Macle, L., Wells, G. A., Bennett, M., Essebag, V., Champagne, J., Roux, J.-F., Yung, D., Skanes, A., et al. (2023) · New England Journal of Medicine · doi:10.1056/nejmoa2212540 · Cited by 385
Self-citation
Metadata
- Authors
- Andrade, J., Khairy, P., Dobrev, D., & Nattel, S.
- Venue
- Circulation Research
- Published
- 2014-04-25
- Volume
- 114
- Issue
- 9
- Pages
- 1453-1468
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- OpenAlex
- W2167423131
- Cited by
- 1,187
- References
- 45
- FWCI
- 53.07
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Andrade, J., Khairy, P., Dobrev, D., & Nattel, S. (2014). The Clinical Profile and Pathophysiology of Atrial Fibrillation: Relationships Among Clinical Features, Epidemiology, and Mechanisms. Circulation Research. https://doi.org/10.1161/circresaha.114.303211
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
